Triple
T9081634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worcester State University |
E217641
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Worcester |
E20486
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Worcester | Statement: [Worcester State University, city, Worcester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worcester Context triple: [Worcester State University, city, Worcester]
-
A.
Worcester
Worcester is a large agricultural and commercial town in South Africa’s Western Cape, known for its vineyards, fruit farming, and surrounding mountain scenery.
-
B.
Worcester
Worcester is a small town in Otsego County, New York, known for its rural character and location in the central part of the state.
-
C.
Worcester
Worcester is a historic cathedral city in Worcestershire, England, situated on the River Severn and known for its medieval architecture and cultural heritage.
-
D.
Worcester, Massachusetts
chosen
Worcester, Massachusetts is a major city in central Massachusetts known as a historic industrial and educational hub often called the "Heart of the Commonwealth."
-
E.
Woburn
Woburn is a historic village in Bedfordshire, England, best known for Woburn Abbey and its associated safari park and estate.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9608a82481908918821884ba5796 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017baebb881908cfecd3438a17166 |
completed | April 3, 2026, 7:40 p.m. |
Created at: March 30, 2026, 7:13 p.m.